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Quantum Computing Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer quantum computing applications that will redefine industries. We're seeking a visionary Quantum Computing Research Lead to architect breakthrough solutions in cryptography, materials science, and AI optimization. Lead a multidisciplinary team of physicists, engineers, and data scientists to transform theoretical quantum principles into scalable commercial applications. Collaborate with Fortune 500 partners to solve previously unsolvable computational challenges while mentoring the next generation of quantum pioneers.

This role offers unparalleled access to our state-of-the-art quantum lab, competitive equity packages, and the opportunity to shape humanity's technological trajectory. If you're passionate about pushing beyond classical computing limits, we invite you to accelerate your career at the intersection of science and innovation.

Responsibilities

  • Design and execute quantum algorithm research for enterprise applications
  • Lead cross-functional teams in developing quantum hardware/software integration frameworks
  • Establish industry partnerships for quantum computing use-case development
  • Drive publication of peer-reviewed research and secure intellectual property
  • Mentor junior researchers in quantum computing methodologies
  • Develop roadmaps for quantum advantage implementation in commercial sectors
  • Secure government and private research funding for quantum initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of quantum computing research experience with published papers
  • Expertise in quantum algorithm design and error correction techniques
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Track record of leading complex R&D projects with measurable outcomes
  • Strong background in machine learning and high-performance computing
  • Demonstrated ability to translate theoretical concepts into practical applications
  • Experience securing research grants and industry partnerships

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Machine Learning Cryptography Materials Science High-Performance Computing Research Leadership

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